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针对常规的梁的边界条件识别方法的不足，本文提出了利用神经网络来实现梁的边界条件识别．模拟结果表明：利用神经网络可以准确地实现梁的边界条件识别，并可克服常规的梁的边界条件识别方法中因观测值出现较大的误差而造成识别结果失真的情况．
In order to overcome the shortcomings of conventional beam boundary condition identification methods, this paper proposes the use of neural network to realize the boundary condition identification of beams. The simulation results show that the neural network can accurately identify the boundary conditions of the beam and can overcome the distortion of the recognition result due to the large errors in the observed values of the conventional beam boundary conditions.